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Constructed in 1914, the Couch School became the Metropolitan Learning Center, an alternative public school, in 1968.
Northwest, Portland, Oregon
The Deep Learning Summit took place in Boston on 26-27 May 2015.
www.re-work.co/events/deep-learning-boston-2015
#reworkDL
Leica M4, Voigtlander Nokton 50 1.5 ASPH V1, 022 filter
Kodak Tri-X, Rodinal 1:50
Sony A7II, FE90 2.8 Macro
Negative Supply Pro Carrier 135, 5X7 Lightsource Pro 95 CRI
Please vote for Learning Pet in the Open Hardware Summit Scholarship!
www.openhardwaresummit.org/scholarship/
Designed for elementary school students, Learning Pet enriches lessons by creating a physical interface to interact with the virtual world. We demonstrate a number sorting game, where the student interacts with the robot to blast virtual UFO's with the lowest value. Correct answers are celebrated with a wing flap, and each level-up with a dance. We use the Accessory Development Kit to interface with mobile devices while away from the computer.
Learn more about Learning Pet here:
National Oceanic & Atmospheric Administration (NOAA) exhibit at the public version of the NMC Campus called Learning.
Metropolitan Learning Center Monday June 6, 2016. Alice and Sadie Gustavson, Cassius and Laslo. © 2016 Portland Public Schools / www.fredjoephoto.com
Children at the Springville Road Regional Branch Library learn the science behind the sound by playing different instruments at a summer learning program.
MBD Group presents digital learning for students that gives them an adaptive, engaging and interactive learning experience and allow them to learn in their own style. bit.ly/2Ppx8Pp
The Deep Learning Summit took place in Boston on 26-27 May 2015.
www.re-work.co/events/deep-learning-boston-2015
#reworkDL
365 - The 2010 Edition * November 16, 2010
Still just piddling around with Jo Ann’s new camera.. Spent all night last night The diagram on the screen behind me is a page in the User’s Manual. It’s a description of all the buttons and icons that it displays for all the functions it performs. Took me a while to figure out that the little red icon blinking at me was the equivalent of the clock flashing 12:00 on your Dad’s VCR.. Set me – set me – set me….
As always, there’s a learning curve to get over before you can decide if things are really annoying or just unfamiliar. Jo Ann is a visual learner – she catches on quickly to things she is shown – reading it out of a manual is something not many people do well – and almost no one enjoys. I guess I’m a bit of a geek that way. I like reading and exploring new gadgetry at the same time. So, I’ll figure out the things she really needs to know, and then show her, and we’ll both know.
But for simple family photos, all you really need to know is where the “Auto” setting is. Everything after that is just gravy… Or is it icing on the cake? Hmmm…
Please vote for Learning Pet in the Open Hardware Summit Scholarship!
www.openhardwaresummit.org/scholarship/
Designed for elementary school students, Learning Pet enriches lessons by creating a physical interface to interact with the virtual world. We demonstrate a number sorting game, where the student interacts with the robot to blast virtual UFO's with the lowest value. Correct answers are celebrated with a wing flap, and each level-up with a dance. We use the Accessory Development Kit to interface with mobile devices while away from the computer.
Learn more about Learning Pet here:
Introduction
Best Machine Learning Projects: This technologically driven world has seen machine learning emerge. It's a remarkable field that allows electronic devices and machines to become more intelligent. This field's primary goal is to make a basic machine more intelligent.
Working on projects is the best way for you to get an understanding of this technology. Other options include online course browsing through books that only help in understanding the basics of ML. However, it is possible to get a deeper understanding by working with real-world data. Kaggle also has data sets from some of these projects.
These datasets are useful for completing projects and learning new skills in the field. These projects are most applicable to you if your level is intermediate or an amateur and you're still learning more about Machine Learning. Kaggle also has many more complex projects for those who are ready to tackle more difficult tasks. These are the stages that machine learning is made up of
- A machine learning algorithm provides examples of input data as well as a list of possible tags to match that input.
- The input data is transformed into text vectors, which are numbers that indicate various data features.
- Algorithms are able to associate feature vectors, tags and samples on the basis of manually-tagged samples. This allows them to automatically make predictions while processing unseen data.
justartificialintelligence.com/best-machine-learning-proj...